andreaspapac / CwCompLinks
Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm. AAAI 2024
☆11Updated last year
Alternatives and similar repositories for CwComp
Users that are interested in CwComp are comparing it to the libraries listed below
Sorting:
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 8 months ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Updated 3 years ago
- [NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference☆15Updated 11 months ago
- PyTorch Implementation of the paper "MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition" pu…☆24Updated last month
- [CVPR 2024] Offical implementation for A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network☆24Updated 10 months ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆73Updated 4 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15Updated 3 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Updated 2 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆51Updated 2 months ago
- Official implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"☆23Updated 2 years ago
- Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification☆47Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆30Updated last year
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆15Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- Dynamic Neural Architecture Search Toolkit☆30Updated 10 months ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆12Updated last year
- Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…☆10Updated last year
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Updated 5 years ago
- A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)☆22Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- ☆128Updated 2 months ago
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆31Updated 2 years ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 10 months ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Updated 8 months ago
- ☆25Updated 3 years ago